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AI Governance And RiskmediumMultiple ChoiceObjective-mapped

AAIA AI Governance And Risk Practice Question

Which 'AI Risk Mitigation' strategy is most effective for reducing 'Data Leakage' in training sets?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Implementing strict data partitioning and feature selection protocols

Data leakage occurs when information from the target variable leaks into the training features; strict separation and testing prevent this.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Using more colorful charts in the report

    Why it's wrong here

    Visualization does not prevent data leakage.

  • Implementing strict data partitioning and feature selection protocols

    Why this is correct

    Ensuring the training set does not contain information from the future or target reduces leakage.

  • Increasing the number of servers

    Why it's wrong here

    More hardware does not fix data leakage.

  • Changing the office seating arrangement

    Why it's wrong here

    Seating has no impact on training data integrity.

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official ISACA exam blueprint

This AAIA practice question is part of Courseiva's free ISACA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AAIA exam.